The Hint Factory is a method of automatic hint generation that has been used to augment hints in a number of educational systems. Although the previous implementations were done in domains with largely deterministic environments, the methods are inherently useful in stochastic environments with uncertainty. In this work, we explore the game Connect Four as a simple domain to give decision support under uncertainty. We speculate how the implementation created could be extended to other domains including simulated learning environments and advanced navigational tasks.
CITATION STYLE
Moore, S., & Stamper, J. (2019). Decision support for an adversarial game environment using automatic hint generation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11528 LNCS, pp. 82–88). Springer Verlag. https://doi.org/10.1007/978-3-030-22244-4_11
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